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lscsoft-glue

LSCSoft-GLUE is a collection of utilities for running data analysis pipelines for online and offline analysis as well as accessing various grid utilities.

lscsoft-glue v4.1.1 88.4K downloads/30d#13,731 on PyPI
Copyleft license GPL-2.0-or-later AGING released

What it is and what it does

LSCSoft-GLUE is a toolkit built for the LIGO Scientific Collaboration to support gravitational-wave data analysis. It bundles utilities for constructing and running analysis pipelines—both real-time online processing and batch offline analysis—along with interfaces to grid computing resources commonly used in physics research. The package is stable (Production/Stable classifier) and supports Python 3.6 through 3.13.

The package is designed for researchers and engineers working with LIGO data or similar large-scale physics experiments. It abstracts away grid submission, data access, and pipeline orchestration details so that analysts can focus on the science. Its single runtime dependency (igwn-segments) keeps the installation lightweight. The copyleft GPL-2.0-or-later license means any modifications or redistributions must remain open-source.

Use it for:

  • Construct and submit gravitational-wave data analysis pipelines to grid computing clusters.
  • Access and manage time-segment metadata for LIGO detector data in offline analysis workflows.
  • Automate batch processing of large physics datasets across distributed computing infrastructure.
  • Integrate grid job submission and monitoring into custom Python analysis scripts.
  • Manage online real-time data analysis pipelines for detector monitoring or alert generation.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

LSCSoft-GLUE provides utilities and grid access tools for running data analysis pipelines in gravitational-wave physics research, supporting both online and offline analysis workflows.

Yes, if you are working with LIGO data or gravitational-wave physics research and need grid pipeline infrastructure. The low install friction, broad Python version support, and stable classifier make it straightforward to adopt. However, the aging maintenance status (last release 392 days ago) means you should verify that it still meets your current grid infrastructure and Python environment before committing to a production workflow.

Install

lscsoft-glue on PyPI

pip

pip install lscsoft-glue

uv

uv add lscsoft-glue

poetry

poetry add lscsoft-glue

Installing lscsoft-glue

Before you install

Low install friction with a single runtime dependency (igwn-segments). Last release was 392 days ago; maintenance status is aging, so expect infrequent updates.

License in practice

Distributed under GPL-2.0-or-later (copyleft). Any derivative work or distribution must also be open-source under a compatible license.

Quickstart

pip install lscsoft-glue

import glue
# Access grid utilities and pipeline tools from the glue module

Requires Python 3.6 or later; designed for POSIX systems.

Verify before relying

  • Whether igwn-segments is a compiled dependency or has system-level requirements beyond Python.
  • Specific grid infrastructure or credentials needed to use grid utilities beyond basic import.
  • Whether the 392-day gap since last release reflects stable maintenance or active abandonment.

Package facts

License GPL-2.0-or-later (copyleft)
Python support supports the current Python release (>=3.6)
Install friction low — pure-Python wheel
Runtime dependencies 1 — igwn-segments
Maintenance aging — 392 days since the last release
First released
Downloads 88,406/month — #13,731 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: lscsoft_glue-4.1.1-py3-none-any.whl

Development Status :: 5 - Production/StableIntended Audience :: Science/ResearchLicense :: OSI Approved :: GNU General Public License v2 or later (GPLv2+)Operating System :: POSIXProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/Engineering :: AstronomyTopic :: Scientific/Engineering :: Physics

Tags

gravitational wave data analysisligo pipeline utilitiesgrid computing for physicsdata analysis pipeline toolslsc user environmentoffline analysis frameworkscientific computing grid access
gravitational-wavegrid-computingligo-data

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